Zoox

Software Engineer - Trajectory Generation

Reposted 20 Hours Ago

Foster City, CA, USA

Hybrid

151K-270K Annually

Mid level

Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing

Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.

The Role

Develop and implement trajectory generation algorithms in production-quality C++ software, validate performance with backend tooling, participate in cross-functional projects and on-vehicle reviews, and stay current through literature and study groups.

Summary Generated by Built In

Within the Motion Planning organization at Zoox, you’ll be dedicated to improving the driving behaviors of the robot on public roads. The Planner's job is to figure out where the robot is going and how to get there safely in situations as complex as those found in Downtown San Francisco or on the Las Vegas Strip.

The Trajectory Generation team is responsible for developing robust and efficient algorithms and software that produces safe, feasible, and optimal trajectories. This module is a key component of the Planner for our bidirectional autonomous vehicle, and it is critical to achieving a safe and comfortable rider experience in various driving environments. We are seeking an engineer to develop and enhance our trajectory generation algorithms and software to continuously improve our autonomous driving system.

In this role, you will:

Design trajectory generation algorithms and implement them in high-quality software to continuously improve the capability of our autonomous driving system and enhance the safety and comfort of our driving behavior on public roads.
Use our extensive backend tooling to test and validate your algorithms and software across many different driving situations, and develop metrics and pipelines to further our ability to test/measure the algorithms’ performance.
Participate in or lead cross-functional projects to deliver mission-critical features to expand our autonomous driving capabilities.
Participate in on-vehicle drive reviews to gather actionable feedback on driving performance, and use this knowledge to help the team learn and make continuous improvements.
Conduct literature review and participate in study groups to stay current with the advancements in the fields of Motion Planning, Autonomous Driving, and Robotics in general.

Qualifications

Master's degree in Computer Science, Robotics, or related fields
Fluency in C++ with experience shipping productionized software
Proven experience in developing trajectory optimization algorithms and real-time motion planning software
Deep knowledge about numerical constrained optimization methods

Bonus Qualifications

Experience with geometric, sampling, and search-based planning algorithms
Experience with machine learning-based motion planning
Experience with behavior planning, discrete decision making, tree search, and POMDP

Top Skills

C++

Motion Planning

Numerical Constrained Optimization

Trajectory Optimization

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The Company

HQ: Foster City, CA

2,900 Employees

Year Founded: 2014

What We Do

Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.

Why Work With Us

At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.